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Self-similarity coding of random texture with applications to design and detection of complicated patterns

机译:随机纹理与应用程序设计和检测复杂模式的自我相似性

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A dynamic scheme is presented for identifying generation processes of complicated patterns. Patterns with random textures are filtered to yield a discrete feature pattern. This feature pattern is successively expanded for estimating self-similar partition. A set of reduced affine mappings is specified through joint statistic-geometry analysis of the partition. The coding method is applied to design and detection of complicated patterns.
机译:提出了一种用于识别复杂模式的生成过程的动态方案。滤波具有随机纹理的图案以产生离散特征模式。此功能模式连续扩展以估计自我相似的分区。通过分区的联合统计几何分析来指定一组减少的仿射映射。编码方法应用于复杂模式的设计和检测。

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